Hiroshi Kera - RankMe

66 papers A* 10B 4Journal 49Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Human Trajectory Prediction via Self-Supervised Skeleton Representation Learning. CoRR Taishu Arashima, Hiroshi Kera, Kazuhiko Kawamoto
2025	A*	`conf`	Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning. CVPR Takuma Fukuda, Hiroshi Kera, Kazuhiko Kawamoto
2025	J	`jnl`	Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control. CoRR Shingo Ayabe, Hiroshi Kera, Kazuhiko Kawamoto
2025	J	`jnl`	Adversarial Training from Mean Field Perspective. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2025	J	`jnl`	Adversarially Pretrained Transformers may be Universally Robust In-Context Learners. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2025	J	`jnl`	CALT: A Library for Computer Algebra with Transformer. CoRR Hiroshi Kera, Shun Arakawa, Yuta Sato
2025	J	`jnl`	Chain of Thought in Order: Discovering Learning-Friendly Orders for Arithmetic. CoRR Yuta Sato, Kazuhiko Kawamoto, Hiroshi Kera
2025	J	`jnl`	Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms. CoRR Hiroshi Kera, Nico Pelleriti, Yuki Ishihara, Max Zimmer, Sebastian Pokutta
2025	J	`jnl`	Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment. CoRR Kazuhiko Kawamoto, Atsuhiro Endo, Hiroshi Kera
2025	J	`jnl`	Gradient-Weighted, Data-Driven Normalization for Approximate Border Bases - Concept and Computation. CoRR Hiroshi Kera, Achim Kehrein
2025	J	`jnl`	Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding. CoRR Kazuki Yoda, Kazuhiko Kawamoto, Hiroshi Kera
2025	J	`jnl`	Training on Plausible Counterfactuals Removes Spurious Correlations. CoRR Shpresim Sadiku, Kartikeya Chitranshi, Hiroshi Kera, Sebastian Pokutta
2025	J	`jnl`	Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution. CoRR Ru Ito, Supatta Viriyavisuthisakul, Kazuhiko Kawamoto, Hiroshi Kera
2025	J	`jnl`	Zero-Shot Textual Explanations via Translating Decision-Critical Features. CoRR Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto
2024	J	`jnl`	Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning. CoRR Takuma Fukuda, Hiroshi Kera, Kazuhiko Kawamoto
2024	J	`jnl`	Explaining Object Detectors via Collective Contribution of Pixels. CoRR Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto
2024	J	`jnl`	Fourier analysis on robustness of graph convolutional neural networks for skeleton-based action recognition. Comput. Vis. Image Underst. Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
2024	—	`conf`	Gröbner basis computation via learning. SCSS (Work in Progress) Hiroshi Kera, Yuki Ishihara, Tristan Vaccon, Kazuhiro Yokoyama
2024	A*	`conf`	Identifying Important Group of Pixels using Interactions. CVPR Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera
2024	J	`jnl`	Identifying Important Group of Pixels using Interactions. CoRR Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera
2024	A*	`conf`	Learning to compute Gröbner bases. NeurIPS Hiroshi Kera, Yuki Ishihara, Yuta Kambe, Tristan Vaccon, Kazuhiro Yokoyama
2024	J	`jnl`	Low-Quality Image Detection by Hierarchical VAE. CoRR Tomoyasu Nanaumi, Kazuhiko Kawamoto, Hiroshi Kera
2024	J	`jnl`	Matching Non-Identical Objects. CoRR Yusuke Marumo, Kazuhiko Kawamoto, Hiroshi Kera
2024	J	`jnl`	Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations. CoRR Shingo Ayabe, Takuto Otomo, Hiroshi Kera, Kazuhiko Kawamoto
2024	A*	`conf`	Theoretical Understanding of Learning from Adversarial Perturbations. ICLR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2024	J	`jnl`	Theoretical Understanding of Learning from Adversarial Perturbations. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2024	J	`jnl`	VarteX: Enhancing Weather Forecast through Distributed Variable Representation. CoRR Ayumu Ueyama, Kazuhiko Kawamoto, Hiroshi Kera
2024	A*	`conf`	Wide Two-Layer Networks can Learn from Adversarial Perturbations. NeurIPS Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2024	J	`jnl`	Wide Two-Layer Networks can Learn from Adversarial Perturbations. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2023	A*	`conf`	Adversarial Training from Mean Field Perspective. NeurIPS Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2023	A*	`conf`	Approximate Vanishing Ideal Computations at Scale. ICLR Elias Samuel Wirth, Hiroshi Kera, Sebastian Pokutta
2023	J	`jnl`	Exploiting Frequency Spectrum of Adversarial Images for General Robustness. CoRR Chun Yang Tan, Kazuhiko Kawamoto, Hiroshi Kera
2023	J	`jnl`	Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action Recognition. CoRR Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
2023	J	`jnl`	Improving Accuracy of Zero-Shot Action Recognition with Handcrafted Features. CoRR Nan Wu, Hiroshi Kera, Kazuhiko Kawamoto
2023	J	`jnl`	Improving zero-shot action recognition using human instruction with text description. Appl. Intell. Nan Wu, Hiroshi Kera, Kazuhiko Kawamoto
2023	J	`jnl`	Learning to Compute Gröbner Bases. CoRR Hiroshi Kera, Yuki Ishihara, Yuta Kambe, Tristan Vaccon, Kazuhiro Yokoyama
2023	J	`jnl`	Sequential Variational Autoencoder with Adversarial Classifier for Video Disentanglement. Sensors Takeshi Haga, Hiroshi Kera, Kazuhiko Kawamoto
2023	J	`jnl`	Sparse fooling images: Fooling machine perception through unrecognizable images. Pattern Recognit. Lett. Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2022	B	`conf`	Adversarial Body Shape Search for Legged Robots. SMC Takaaki Azakami, Hiroshi Kera, Kazuhiko Kawamoto
2022	J	`jnl`	Adversarial Body Shape Search for Legged Robots. CoRR Takaaki Azakami, Hiroshi Kera, Kazuhiko Kawamoto
2022	A*	`conf`	Adversarial Bone Length Attack on Action Recognition. AAAI Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
2022	J	`jnl`	Adversarial amplitude swap towards robust image classifiers. CoRR Chun Yang Tan, Kazuhiko Kawamoto, Hiroshi Kera
2022	B	`conf`	Adversarial joint attacks on legged robots. SMC Takuto Otomo, Hiroshi Kera, Kazuhiko Kawamoto
2022	J	`jnl`	Adversarial joint attacks on legged robots. CoRR Takuto Otomo, Hiroshi Kera, Kazuhiko Kawamoto
2022	J	`jnl`	Adversarially Trained Object Detector for Unsupervised Domain Adaptation. IEEE Access Kazuma Fujii, Hiroshi Kera, Kazuhiko Kawamoto
2022	J	`jnl`	Approximate Vanishing Ideal Computations at Scale. CoRR Elias Samuel Wirth, Hiroshi Kera, Sebastian Pokutta
2022	B	`conf`	Border Basis Computation with Gradient-Weighted Normalization. ISSAC Hiroshi Kera
2022	J	`jnl`	Game-Theoretic Understanding of Misclassification. CoRR Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera
2022	J	`jnl`	Superclass Adversarial Attack. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2022	J	`jnl`	Vanishing Component Analysis with Contrastive Normalization. CoRR Ryosuke Masuya, Yuichi Ike, Hiroshi Kera
2021	J	`jnl`	Adversarial Bone Length Attack on Action Recognition. CoRR Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
2021	J	`jnl`	Adversarially Trained Object Detector for Unsupervised Domain Adaptation. CoRR Kazuma Fujii, Hiroshi Kera, Kazuhiko Kawamoto
2021	J	`jnl`	Border Basis Computation with Gradient-Weighted Norm. CoRR Hiroshi Kera
2021	J	`jnl`	Evolving Architectures With Gradient Misalignment Toward Low Adversarial Transferability. IEEE Access Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba, Hiroshi Kera
2021	J	`jnl`	Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability. CoRR Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba, Hiroshi Kera
2021	J	`jnl`	Monomial-agnostic computation of vanishing ideals. CoRR Hiroshi Kera, Yoshihiko Hasegawa
2021	J	`jnl`	Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control. CoRR Wataru Okamoto, Hiroshi Kera, Kazuhiko Kawamoto
2020	A*	`conf`	Gradient Boosts the Approximate Vanishing Ideal. AAAI Hiroshi Kera, Yoshihiko Hasegawa
2020	J	`jnl`	Sparse Fooling Images: Fooling Machine Perception through Unrecognizable Images. CoRR Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2019	J	`jnl`	Gradient Boosts the Approximate Vanishing Ideal. CoRR Hiroshi Kera, Yoshihiko Hasegawa
2019	J	`jnl`	Spurious Vanishing Problem in Approximate Vanishing Ideal. IEEE Access Hiroshi Kera, Yoshihiko Hasegawa
2019	J	`jnl`	Spurious Vanishing Problem in Approximate Vanishing Ideal. CoRR Hiroshi Kera, Yoshihiko Hasegawa
2018	A*	`conf`	Approximate Vanishing Ideal via Data Knotting. AAAI Hiroshi Kera, Yoshihiko Hasegawa
2017	—	`conf`	Temporal Localization and Spatial Segmentation of Joint Attention in Multiple First-Person Videos. ICCV Workshops Yifei Huang, Minjie Cai, Hiroshi Kera, Ryo Yonetani, Keita Higuchi, Yoichi Sato
2016	—	`conf`	Discovering Objects of Joint Attention via First-Person Sensing. CVPR Workshops Hiroshi Kera, Ryo Yonetani, Keita Higuchi, Yoichi Sato
2016	B	`conf`	Vanishing ideal genetic programming. CEC Hiroshi Kera, Hitoshi Iba